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    NIPS
    2003
    76views Information Technology» more  NIPS 2003»
    Self-calibrating Probability Forecasting
    13 years 10 months ago
    Self-calibrating Probability Forecasting
    Download  books.nips.cc
    In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
    Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
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    UAI
    1996
    102views Artificial Intelligence» more  UAI 1996»
    Why is diagnosis using belief networks insensitive to imprecision in probabilities?
    13 years 10 months ago
    Why is diagnosis using belief networks insensitive to imprecision in probabilities?
    Download  bmir.stanford.edu
    Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
    Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...
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    ANNPR
    2006
    Springer
    178views Neural Networks» more  ANNPR 2006»
    Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions
    14 years 29 days ago
    Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions
    Download  www.dii.unisi.it
    Abstract. Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the unde...
    Edmondo Trentin
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    TWC
    2008
    110views more  TWC 2008»
    Information outage probability and diversity order of symmetric coordinate interleaved orthogonal designs
    13 years 9 months ago
    Information outage probability and diversity order of symmetric coordinate interleaved orthogonal designs
    Download  wncg.org
    Space-time block codes (STBCs) from coordinate interleaved orthogonal designs (CIODs) have attracted considerable attention lately due to their full-diversity and single-symbol dec...
    Hoojin Lee, Jeffrey G. Andrews, Edward J. Powers
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    SDM
    2009
    SIAM
    343views Data Mining» more  SDM 2009»
    Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
    14 years 6 months ago
    Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.
    Download  www.siam.org
    Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
    Masashi Sugiyama, Yoshinobu Kawahara
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